Long-Range Temporal Correlations in Resting-State Alpha Oscillations Predict Human Timing-Error Dynamics

Smit, Dirk J.A.; Linkenkaer‐Hansen, Klaus; Geus, Eco J. C. de

doi:10.1523/jneurosci.2816-12.2013

Cited by 82 publications

(126 citation statements)

References 52 publications

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“…17 They are also consistent with fMRI studies associating individual spontaneous brain temporal dynamics with behavioral accuracy during event-timing tasks. 19,92 Here, for the first time we extend this prior work into the multisensory domain of human cognition and identify a novel task-free assessment and biomarker (ie, PLE) of individual ability to integrate signals across sensory systems that may in turn predict propensity to unusual perceptual experiences.…”

Section: Discussionmentioning

confidence: 97%

A Neural “Tuning Curve” for Multisensory Experience and Cognitive-Perceptual Schizotypy

Ferri

Nikolova

Perrucci

et al. 2017

Schizophrenia Bulletin

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Our coherent perception of external events is enabled by the integration of inputs from different senses occurring within a range of temporal offsets known as the temporal binding window (TBW), which varies from person to person. A relatively wide TBW may increase the likelihood that stimuli originating from different environmental events are erroneously integrated and abnormally large TBW has been found in psychiatric disorders characterized by unusual perceptual experiences. Despite strong evidence of inter-individual differences in TBW, both within clinical and nonclinical populations, the neurobiological underpinnings of this variability remain unclear. We adopted an integrated strategy linking TBW to temporal dynamics in functional magnetic resonance imaging (fMRI)-resting-state activity and cortical excitation/inhibition (E/I) balance. E/I balance was indexed by glutamate/Gamma-AminoButyric Acid (GABA) concentrations and common variation in glutamate and GABA genes in a healthy sample. Stronger resting-state longrange temporal correlations, indicated by larger power law exponent (PLE), in the auditory cortex, robustly predicted narrower audio-tactile TBW, which was in turn associated with lower cognitive-perceptual schizotypy. Furthermore, PLE was highest and TBW narrowest for individuals with intermediate levels of E/I balance, with shifts towards either extreme resulting in reduced multisensory temporal precision and increased schizotypy, effectively forming a neural "tuning curve" for multisensory experience and schizophrenia risk. Our findings shed light on the neurobiological underpinnings of multisensory integration and its potentially clinically relevant inter-individual variability.

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Section: Discussionmentioning

confidence: 97%

A Neural “Tuning Curve” for Multisensory Experience and Cognitive-Perceptual Schizotypy

Ferri

Nikolova

Perrucci

et al. 2017

Schizophrenia Bulletin

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“…Recently, intriguing evidence has emerged showing that across subjects, the scaling exponent of EEG/MEG signal amplitude fluctuations correlated with the scaling exponent of behavioral output [26, 27]. These observations extended the behavioral correlations of scale-free brain activity from the within-individual to the across-individual domain.…”

Section: Functional Significance Of Scale-free Brain Activitymentioning

confidence: 88%

“…As mentioned above, the amplitude fluctuations of narrow-band brain oscillations also exhibit scale-free dynamics [20]; moreover, a recent burgeoning literature has demonstrated the functional [26, 27, 59], developmental [29], and clinical [34] relevance of this phenomenon. Future studies should investigate the relationship between broadband scale-free brain activity and scale-free dynamics in narrow-band amplitude fluctuations.…”

Section: Relationship With Amplitude Fluctuations Of Brain Oscillatiomentioning

confidence: 99%

Scale-free brain activity: past, present, and future

2014

Trends in Cognitive Sciences

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Brain activity observed at many spatiotemporal scales exhibits a 1/f-like power spectrum, including neuronal membrane potentials, neural field potentials, noninvasive electroencephalography, magnetoencephalography and functional magnetic resonance imaging signals. A 1/f-like power spectrum is indicative of arrhythmic brain activity that does not contain a predominant temporal scale (hence, “scale-free”). This characteristic of scale-free brain activity distinguishes it from brain oscillations. While scale-free brain activity and brain oscillations coexist, our understanding of the former remains very limited. Recent research has shed light on the spatiotemporal organization, functional significance and potential generative mechanisms of scale-free brain activity, as well as its developmental and clinical relevance. A deeper understanding of this prevalent brain signal should provide new insights and analytical tools for cognitive neuroscience.

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“…Besides this thermostat like function, the brain also evolved to make use of its neuronal oscillations in a number of other ways, including temporal coordination of neuronal operations via dynamic functional connectivity 2,3 , phase-coding of spatial aspects of the environment 4,5 , and attentional selection 6–8 . While the sub-second timescale neuronal oscillations instrumenting these brain operations have been extensively studied and we have a reasonable amount of information on their dynamics and functional significance 1 , the neuronal underpinnings of long timescale fluctuations of brain states are not known, even though they are evident in neuroimaging studies 9–11 , electrophysiological data 12–15 , and human behavioral measures 16–18 .…”

mentioning

confidence: 99%

Global dynamics of selective attention and its lapses in primary auditory cortex

et al. 2016

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Previous research demonstrated that while selectively attending to relevant aspects of the external world, the brain extracts pertinent information by aligning its neuronal oscillations to key time points of stimuli or their sampling by sensory organs. This alignment mechanism is termed oscillatory entrainment. We investigated the global, long-timescale dynamics of this mechanism in the primary auditory cortex of nonhuman primates, and hypothesized that lapses of entrainment would correspond to lapses of attention. By examining electrophysiological and behavioral measures we observed that besides the lack of entrainment by external stimuli, attentional lapses were characterized by high amplitude alpha oscillations, with alpha frequency structuring of neuronal ensemble and single unit operations. Strikingly, entrainment and alpha oscillation dominated periods were strongly anti-correlated and fluctuated rhythmically at an ultra-slow rate. Our results indicate that these two distinct brain states represent externally versus internally oriented computational resources engaged by large-scale task-positive and task-negative functional networks.

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Long-Range Temporal Correlations in Resting-State Alpha Oscillations Predict Human Timing-Error Dynamics

Cited by 82 publications

References 52 publications

A Neural “Tuning Curve” for Multisensory Experience and Cognitive-Perceptual Schizotypy

A Neural “Tuning Curve” for Multisensory Experience and Cognitive-Perceptual Schizotypy

Scale-free brain activity: past, present, and future

Global dynamics of selective attention and its lapses in primary auditory cortex

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